Data Architect

5 days ago

Pune, Maharashtra, India beBeeSoftware Full time US$ 1,94,857 - US$ 2,45,571

About Addepar

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade.

With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $7 trillion in assets.

Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, and Dubai.

The Role:

We are seeking a Senior Software Engineer to craft and build a Data Analytics Platform, enabling our teams to make data-driven decisions every day.

Responsibilities:

  • Build and scale a comprehensive platform, formalizing and optimizing data analytics across teams.
  • Collaborate with product managers and engineers to understand requirements, and architect solutions for sophisticated data and workflow challenges.
  • Use core Addepar systems like the Data Lakehouse to advise and strategize Ops and Data Governance infrastructure.
  • Simplify processes by promoting strategic data architecture and optimized workflows.

Requirements:

  • 5+ years of relevant work experience that shows proficiency in platform development, particularly in enabling data engineering outcomes.
  • Proficient in one or more cloud platforms (AWS, GCP, Azure), with hands-on experience in cloud infrastructure and handling data analytics workloads.
  • Strong expertise in CI/CD for data engineering pipelines building, automating, and optimizing the pipeline lifecycle.
  • Skilled in monitoring and observability tools like Datadog and Grafana to track system performance, and system health.
  • Knowledge of Infrastructure as Code tools (Terraform) for consistent, scalable environment setups.
  • A collaborative, low-ego problem-solver who takes ownership and delivers results.

Bonus Points:

  • Experience in handling large-scale datasets and high velocity data streams.
  • Familiarity with the financial domain.
  • PySpark and Databricks experience (or similar technologies with a willingness to cross-train).

Our Values:

  • Act Like an Owner: Think and operate with intention, purpose and care.
  • Build Together: Collaborate to unlock the best solutions.
  • Champion Our Clients: Exceed client expectations.
  • Drive Innovation: Be bold and unconstrained in problem solving.
  • Embrace Learning: Engage our community to broaden our perspective.

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